RuntimeError: Error(s) in loading state_dict for EfficientDetBackbone:
size mismatch for classifier.header.pointwise_conv.conv.weight: copying a param with shape torch.Size([45, 112, 1, 1]) from checkpoint, the shape in current model is torch.Size([189, 112, 1, 1]).
size mismatch for classifier.header.pointwise_conv.conv.bias: copying a param with shape torch.Size([45]) from checkpoint, the shape in current model is torch.Size([189]).
用的phi=2 pth文件也改了,为什么维度对不上呢
RuntimeError: Error(s) in loading state_dict for EfficientDetBackbone: size mismatch for classifier.header.pointwise_conv.conv.weight: copying a param with shape torch.Size([45, 112, 1, 1]) from checkpoint, the shape in current model is torch.Size([189, 112, 1, 1]). size mismatch for classifier.header.pointwise_conv.conv.bias: copying a param with shape torch.Size([45]) from checkpoint, the shape in current model is torch.Size([189]). 用的phi=2 pth文件也改了,为什么维度对不上呢